Gartner Research

Critical Capabilities for Insight Engines

Published: 20 November 2019

ID: G00389935

Analyst(s): Stephen Emmott, Saniye Alaybeyi, Anthony Mullen


Insight engines provide a set of capabilities that support digital dexterity and automation through the extraction of insights from content across four principal use cases. Application leaders should view insight engines as a key component of both their digital workplace and digital platform.

Table Of Contents

What You Need to Know


  • Critical Capabilities Use-Case Graphics
  • Vendors
    • Attivio (Cognitive Search and Insight Platform)
    • Coveo (Platform)
    • Dassault Systèmes (EXALEAD)
    • EPAM (InfoNGen)
    • Expert System (Cogito Intelligence Platform)
    • Funnelback
    • Google (Cloud Search)
    • IHS Markit (Goldfire)
    • IBM (Watson Discovery)
    • IntraFind (iFinder elastic)
    • Lucidworks (Fusion)
    • Micro Focus (IDOL)
    • Microsoft (Search)
    • Mindbreeze (InSpire)
    • Sinequa (ES)
  • Context
  • Product/Service Class Definition
  • Critical Capabilities Definition
    • Evaluate and Tune Relevance
    • Architecture and Deployment Model
    • Security
    • Ability to Include Key Data Sources
    • Ease of Use (Admins and SMEs)
    • Personalization
    • Ability to Analyze Result Sets
    • Data Enrichment
    • Delivery to Various Touchpoints
    • Query Input Flexibility
    • Multiple Languages
  • Use Cases
    • Internal (Intranet) Search
    • External (Website) Search
    • Extraction of Data for Analytics
    • Insight Applications
  • Vendors Added and Dropped

Inclusion Criteria

  • Critical Capabilities Rating

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